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» The Localization Hypothesis and Machines
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AIIA
2009
Springer
15 years 4 months ago
Local Kernel for Brains Classification in Schizophrenia
Abstract. In this paper a novel framework for brain classification is proposed in the context of mental health research. A learning by example method is introduced by combining loc...
Umberto Castellani, E. Rossato, Vittorio Murino, M...
MVA
2007
132views Computer Vision» more  MVA 2007»
15 years 2 months ago
A Robust Coarse-to-Fine Method for Pupil Localization in Non-ideal Eye Images
Pupil localization is a very important preprocessing step in many machine vision applications. Accurate and robust pupil localization especially in non-ideal eye images (such as i...
Xiaoyan Yuan, Pengfei Shi
117
Voted
BMCBI
2008
146views more  BMCBI 2008»
15 years 23 days ago
ProLoc-GO: Utilizing informative Gene Ontology terms for sequence-based prediction of protein subcellular localization
Background: Gene Ontology (GO) annotation, which describes the function of genes and gene products across species, has recently been used to predict protein subcellular and subnuc...
Wen-Lin Huang, Chun-Wei Tung, Shih-Wen Ho, Shiow-F...
122
Voted
PR
2006
147views more  PR 2006»
15 years 18 days ago
Robust locally linear embedding
In the past few years, some nonlinear dimensionality reduction (NLDR) or nonlinear manifold learning methods have aroused a great deal of interest in the machine learning communit...
Hong Chang, Dit-Yan Yeung
99
Voted
BMCBI
2005
120views more  BMCBI 2005»
15 years 17 days ago
pSLIP: SVM based protein subcellular localization prediction using multiple physicochemical properties
Background: Protein subcellular localization is an important determinant of protein function and hence, reliable methods for prediction of localization are needed. A number of pre...
Deepak Sarda, Gek Huey Chua, Kuo-Bin Li, Arun Kris...